Mid-Level AI Data Engineer for Generative AI & Cloud

Credence; McLean (VA); On-site; USD 115,000 - 155,000; Full time

Benefits offered by this job

Health care plan

Retirement plan

Life Insurance

Paid time off

Family leave

Disability

Training & development

Wellness resources

Job summary

Credence has an immediate need for a Mid-Level AI Data Engineer to join our AI and Automation practice. You will be a technical anchor in our AI and Automation practice, applying foundational AI skills to build data-driven solutions and support federal missions.

Under mentorship from senior AI leaders, you’ll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver cloud-native AI capabilities that advance federal missions.

Qualifications

• 3–7 years of hands-on experience delivering Data/AI/ML solutions.
• Strong ETL/ELT know-how and data storage systems exposure (OpenSearch/Elastic, Kafka, Glue, Snowflake, AWS services).
• Experience with vector databases and embeddings (FAISS, PGVector, OpenSearch, Pinecone).
• Experience in generative AI and LLMs, tool calls (MCP) and agents (A2A).
• Knowledge of AI APIs (OpenAI, Anthropic, Gemini, Bedrock, Vertex).
• Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins).
• Proficiency in Python and libraries (Pandas, LangChain, FastAPI, etc.).
• Excellent communication and client-oriented mindset.

Responsibilities

• Build and optimize data pipelines for generative AI and LLM usage.
• Design and manage data lakes and warehouses across cloud platforms.
• Model and query large datasets using SQL and NoSQL for analytics.
• Collaborate with engineers and data scientists on AI systems.
• Automate model deployment with IaC, CI/CD, and containers.
• Monitor post-deployment AI systems for performance and reliability.
• Write clean, well-documented code following federal guidelines.
• Stay current on AI trends through mentorship and design reviews.

Skills

ETL/ELT pipelines

OpenSearch/Elasticsearch

Kafka

Data Lakes/Warehouses

Python

CI/CD

VS Code AI extensions

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor’s or Master’s in CS/Data/AI/ML

Tools

Terraform

AWS CDK

CloudFormation

Bedrock

Pinecone

LangChain

LangGraph

FastAPI

CrewAI

VS Code

Job description

Credence has an immediate need for a Mid-Level AI Data Engineer to join our AI and Automation practice. You will be a technical anchor in our AI and Automation practice, applying foundational AI skills to build data-driven solutions and support federal missions.

Under mentorship from senior AI leaders, you’ll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver cloud-native AI capabilities that advance federal missions.